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137 publications found
Artificial Intelligence (AI) is fundamentally transforming science communication. This editorial for the JCOM Special Issue “Science Communication in the Age of AI” explores the implications of AI, especially generative AI, for science communication, its promises and challenges. The articles in this Special Issue can be categorized into four key areas: (1) communication about AI, (2) communication with AI, (3) the impact of AI on science communication ecosystems, and (4) AI’s influence on science, theoretical and methodological approaches. This collection of articles advances empirical and theoretical insight into AI’s evolving role in science communication, emphasizing interdisciplinary and comparative perspectives.
This paper studies how artificial intelligence was set to the agenda in the press and social media in France. By simultaneously analysing the framing of AI and the key actors who dominated the discourse on this technology in the national press and on the X and Facebook platforms, the study highlights, on the one hand, the influence of digital companies and government narratives, and on the other, the presence of alternative stakeholder perspectives that diverge from dominant discourses and contribute to political polarisation on AI-related issues such as facial recognition. Our study sheds light on how AI framing can highlight dominant and alternative narratives and visions and may contribute to the consolidation of socio-technical imaginaries in the French public sphere.
This paper examines how artificial intelligence (AI) imaginaries are negotiated by key stakeholders in the United States, China, and Germany, focusing on how public perceptions and discourses shape AI as a sociotechnical phenomenon. Drawing on the concept of sociotechnical imaginaries in public communication, the study explores how stakeholders from industry, government, academia, media and civil society actively co-construct and contest visions of the future of AI. The comparative analysis challenges the notion that national perceptions are monolithic, highlighting the complex and heterogeneous discursive processes surrounding AI. The paper utilises stakeholder interviews to analyse how different actors position themselves within these imaginaries. The analysis highlights overarching and sociopolitically diverse AI imaginaries as well as sectoral and stakeholder co-dependencies within and across the case study countries. It hence offers insights into the socio-political dynamics that influence AI’s evolving role in society, thus contributing to debates on science communication and the social construction of technology.
The evolving landscape of science communication highlights a shift from traditional dissemination to participatory engagement. This study explores Dutch citizens' perspectives on science communication, focusing on science capital, public engagement, and communication goals. Using a mixed-methods approach, it combines survey data (“n”=376) with focus group (“n”=66) insights. Findings show increasing public interest in participating in science, though barriers like knowledge gaps persist. Trust-building, engaging adolescents, and integrating science into society were identified as key goals. These insights support the development of the Netherlands' National Centre of Expertise on Science and Society and provide guidance for inclusive, effective science communication practices.